Osteoarthritis year in review 2021: mechanics

J Harlaar*, E M Macri, M Wesseling

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

17 Citations (Scopus)
49 Downloads (Pure)


Osteoarthritis (OA) has a complex, heterogeneous and only partly understood etiology. There is a definite role of joint cartilage pathomechanics in originating and progressing of the disease. Although it is still not identified precisely enough to design or select targeted treatments, the progress of this year's research demonstrates that this goal became much closer. On multiple scales - tissue, joint and whole body - an increasing number of studies were done, with impressive results. (1) Technology based instrument innovations, especially when combined with machine learning models, have broadened the applicability of biomechanics. (2) Combinations with imaging make biomechanics much more precise & personalized. (3) The combination of Musculoskeletal & Finite Element Models yield valid personalized cartilage loads. (4) Mechanical outcomes are becoming increasingly meaningful to inform and evaluate treatments, including predictive power from biomechanical models. Since most recent advancements in the field of biomechanics in OA are at the level of a proof op principle, future research should not only continue on this successful path of innovation, but also aim to develop clinical workflows that would facilitate including precision biomechanics in large scale studies. Eventually this will yield clinical tools for decision making and a rationale for new therapies in OA.

Original languageEnglish
Pages (from-to)663-670
Number of pages8
JournalOsteoarthritis and Cartilage
Issue number5
Publication statusPublished - May 2022

Bibliographical note

Publisher Copyright:
© 2022 The Authors


Dive into the research topics of 'Osteoarthritis year in review 2021: mechanics'. Together they form a unique fingerprint.

Cite this